Unemployment.csv

Dataset statistics

Number of variables	9
Number of observations	3144
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	749.4 KiB
Average record size in memory	244.1 B

Variable types

Numeric	6
Categorical	3

Alerts

`state` has a high cardinality: 51 distinct values	High cardinality
`area_name` has a high cardinality: 3144 distinct values	High cardinality
`fips` is highly overall correlated with `state` and 1 other fields	High correlation
`urban_influence_code_2013` is highly overall correlated with `unemployed_2020` and 1 other fields	High correlation
`unemployment_rate_2019` is highly overall correlated with `unemployment_rate_2020`	High correlation
`unemployed_2020` is highly overall correlated with `urban_influence_code_2013`	High correlation
`unemployment_rate_2020` is highly overall correlated with `unemployment_rate_2019`	High correlation
`state` is highly overall correlated with `fips`	High correlation
`metro_2013` is highly overall correlated with `fips` and 1 other fields	High correlation
`area_name` is uniformly distributed	Uniform
`fips` has unique values	Unique
`area_name` has unique values	Unique

Reproduction

Analysis started	2023-01-17 14:00:56.104978
Analysis finished	2023-01-17 14:03:32.653075
Duration	2 minutes and 36.55 seconds
Software version	pandas-profiling vv3.6.2
Download configuration	config.json

fips
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	3144
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	30361.684

Minimum	1001
Maximum	56045
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	1001
5-th percentile	5087.3
Q1	18174.5
median	29174
Q3	45079.5
95-th percentile	53062.7
Maximum	56045
Range	55044
Interquartile range (IQR)	26905

Descriptive statistics

Standard deviation	15180.112
Coefficient of variation (CV)	0.49997595
Kurtosis	-1.0975944
Mean	30361.684
Median Absolute Deviation (MAD)	12020
Skewness	-0.080747765
Sum	95457134
Variance	2.3043579 × 10⁸
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1001	1	< 0.1%
39087	1	< 0.1%
39091	1	< 0.1%
39093	1	< 0.1%
39095	1	< 0.1%
39097	1	< 0.1%
39099	1	< 0.1%
39101	1	< 0.1%
39103	1	< 0.1%
39105	1	< 0.1%
Other values (3134)	3134	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001	1	< 0.1%
1003	1	< 0.1%
1005	1	< 0.1%
1007	1	< 0.1%
1009	1	< 0.1%
1011	1	< 0.1%
1013	1	< 0.1%
1015	1	< 0.1%
1017	1	< 0.1%
1019	1	< 0.1%

Value	Count	Frequency (%)
56045	1	< 0.1%
56043	1	< 0.1%
56041	1	< 0.1%
56039	1	< 0.1%
56037	1	< 0.1%
56035	1	< 0.1%
56033	1	< 0.1%
56031	1	< 0.1%
56029	1	< 0.1%
56027	1	< 0.1%

state
Categorical

HIGH CARDINALITY HIGH CORRELATION

Distinct	51
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	181.3 KiB

TX	254
GA	159
VA	133
KY	120
MO	115
Other values (46)	2363

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	6288
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	AL
2nd row	AL
3rd row	AL
4th row	AL
5th row	AL

Common Values

Value	Count	Frequency (%)
TX	254	8.1%
GA	159	5.1%
VA	133	4.2%
KY	120	3.8%
MO	115	3.7%
KS	105	3.3%
IL	102	3.2%
NC	100	3.2%
IA	99	3.1%
TN	95	3.0%
Other values (41)	1862	59.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	254	8.1%
ga	159	5.1%
va	133	4.2%
ky	120	3.8%
mo	115	3.7%
ks	105	3.3%
il	102	3.2%
nc	100	3.2%
ia	99	3.1%
tn	95	3.0%
Other values (41)	1862	59.2%

Most occurring characters

Value	Count	Frequency (%)
A	822	13.1%
N	663	10.5%
M	510	8.1%
I	501	8.0%
T	456	7.3%
O	380	6.0%
K	334	5.3%
L	300	4.8%
S	299	4.8%
C	277	4.4%
Other values (14)	1746	27.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	6288	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	822	13.1%
N	663	10.5%
M	510	8.1%
I	501	8.0%
T	456	7.3%
O	380	6.0%
K	334	5.3%
L	300	4.8%
S	299	4.8%
C	277	4.4%
Other values (14)	1746	27.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6288	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	822	13.1%
N	663	10.5%
M	510	8.1%
I	501	8.0%
T	456	7.3%
O	380	6.0%
K	334	5.3%
L	300	4.8%
S	299	4.8%
C	277	4.4%
Other values (14)	1746	27.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6288	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	822	13.1%
N	663	10.5%
M	510	8.1%
I	501	8.0%
T	456	7.3%
O	380	6.0%
K	334	5.3%
L	300	4.8%
S	299	4.8%
C	277	4.4%
Other values (14)	1746	27.8%

area_name
Categorical

HIGH CARDINALITY UNIFORM UNIQUE

Distinct	3144
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	230.6 KiB

Autauga County, AL	1
Lawrence County, OH	1
Logan County, OH	1
Lorain County, OH	1
Lucas County, OH	1
Other values (3139)	3139

Length

Max length	47
Median length	35
Mean length	18.050891
Min length	14

Characters and Unicode

Total characters	56752
Distinct characters	58
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3144 ?
Unique (%)	100.0%

Sample

1st row	Autauga County, AL
2nd row	Baldwin County, AL
3rd row	Barbour County, AL
4th row	Bibb County, AL
5th row	Blount County, AL

Common Values

Value	Count	Frequency (%)
Autauga County, AL	1	< 0.1%
Lawrence County, OH	1	< 0.1%
Logan County, OH	1	< 0.1%
Lorain County, OH	1	< 0.1%
Lucas County, OH	1	< 0.1%
Madison County, OH	1	< 0.1%
Mahoning County, OH	1	< 0.1%
Marion County, OH	1	< 0.1%
Medina County, OH	1	< 0.1%
Meigs County, OH	1	< 0.1%
Other values (3134)	3134	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
county	3000	31.1%
tx	254	2.6%
ga	159	1.6%
va	133	1.4%
ky	120	1.2%
mo	115	1.2%
ks	105	1.1%
il	102	1.1%
nc	100	1.0%
ia	99	1.0%
Other values (1917)	5474	56.7%

Most occurring characters

Value	Count	Frequency (%)
	6517	11.5%
n	4881	8.6%
o	4747	8.4%
t	4054	7.1%
C	3696	6.5%
u	3589	6.3%
y	3399	6.0%
,	3143	5.5%
a	2254	4.0%
e	2178	3.8%
Other values (48)	18294	32.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	34230	60.3%
Uppercase Letter	12810	22.6%
Space Separator	6517	11.5%
Other Punctuation	3185	5.6%
Dash Punctuation	10	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	4881	14.3%
o	4747	13.9%
t	4054	11.8%
u	3589	10.5%
y	3399	9.9%
a	2254	6.6%
e	2178	6.4%
r	1616	4.7%
i	1275	3.7%
l	1270	3.7%
Other values (16)	4967	14.5%

Uppercase Letter

Value	Count	Frequency (%)
C	3696	28.9%
A	960	7.5%
M	821	6.4%
N	736	5.7%
S	583	4.6%
T	555	4.3%
I	538	4.2%
L	524	4.1%
O	462	3.6%
K	422	3.3%
Other values (16)	3513	27.4%

Other Punctuation

Value	Count	Frequency (%)
,	3143	98.7%
.	27	0.8%
/	11	0.3%
'	4	0.1%

Space Separator

Value	Count	Frequency (%)
	6517	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	47040	82.9%
Common	9712	17.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	4881	10.4%
o	4747	10.1%
t	4054	8.6%
C	3696	7.9%
u	3589	7.6%
y	3399	7.2%
a	2254	4.8%
e	2178	4.6%
r	1616	3.4%
i	1275	2.7%
Other values (42)	15351	32.6%

Common

Value	Count	Frequency (%)
	6517	67.1%
,	3143	32.4%
.	27	0.3%
/	11	0.1%
-	10	0.1%
'	4	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56752	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6517	11.5%
n	4881	8.6%
o	4747	8.4%
t	4054	7.1%
C	3696	6.5%
u	3589	6.3%
y	3399	6.0%
,	3143	5.5%
a	2254	4.0%
e	2178	3.8%
Other values (48)	18294	32.2%

urban_influence_code_2013
Real number (ℝ)

Distinct	13
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.2732517

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	5
Q3	8
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.500797
Coefficient of variation (CV)	0.66387822
Kurtosis	-1.1204878
Mean	5.2732517
Median Absolute Deviation (MAD)	3
Skewness	0.39954967
Sum	16579.103
Variance	12.25558
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	733	23.3%
1	432	13.7%
6	344	10.9%
8	269	8.6%
5	242	7.7%
10	189	6.0%
9	184	5.9%
12	182	5.8%
7	162	5.2%
4	149	4.7%
Other values (3)	258	8.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	432	13.7%
2	733	23.3%
3	130	4.1%
4	149	4.7%
5	242	7.7%
6	344	10.9%
7	162	5.2%
8	269	8.6%
9	184	5.9%
10	189	6.0%

Value	Count	Frequency (%)
12	182	5.8%
11	125	4.0%
10.03448276	3	0.1%
10	189	6.0%
9	184	5.9%
8	269	8.6%
7	162	5.2%
6	344	10.9%
5	242	7.7%
4	149	4.7%

metro_2013
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	184.3 KiB

0.0	1979
1.0	1165

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9432
Distinct characters	3
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	1979	62.9%
1.0	1165	37.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	1979	62.9%
1.0	1165	37.1%

Most occurring characters

Value	Count	Frequency (%)
0	5123	54.3%
.	3144	33.3%
1	1165	12.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	6288	66.7%
Other Punctuation	3144	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	5123	81.5%
1	1165	18.5%

Other Punctuation

Value	Count	Frequency (%)
.	3144	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	9432	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	5123	54.3%
.	3144	33.3%
1	1165	12.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9432	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	5123	54.3%
.	3144	33.3%
1	1165	12.4%

unemployment_rate_2019
Real number (ℝ)

Distinct	103
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.9515454

Minimum	0.8
Maximum	20.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	0.8
5-th percentile	2.3
Q1	3
median	3.7
Q3	4.6
95-th percentile	6.4
Maximum	20.9
Range	20.1
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.4739511
Coefficient of variation (CV)	0.37300624
Kurtosis	14.556121
Mean	3.9515454
Median Absolute Deviation (MAD)	0.8
Skewness	2.4885905
Sum	12423.659
Variance	2.1725318
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.2	138	4.4%
3.1	125	4.0%
3	116	3.7%
2.9	115	3.7%
3.7	113	3.6%
4	110	3.5%
3.5	109	3.5%
3.4	109	3.5%
3.3	108	3.4%
2.7	106	3.4%
Other values (93)	1995	63.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.8	1	< 0.1%
1.4	2	0.1%
1.5	3	0.1%
1.6	8	0.3%
1.7	9	0.3%
1.8	7	0.2%
1.9	15	0.5%
2	22	0.7%
2.1	19	0.6%
2.2	40	1.3%

Value	Count	Frequency (%)
20.9	1	< 0.1%
17.6	1	< 0.1%
16.8	1	< 0.1%
16	1	< 0.1%
13	2	0.1%
12.6	2	0.1%
12.5	1	< 0.1%
12.4	1	< 0.1%
11.5	1	< 0.1%
11.2	1	< 0.1%

unemployed_2020
Real number (ℝ)

Distinct	2014
Distinct (%)	64.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4114.7088

Minimum	4
Maximum	629811
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	4
5-th percentile	54
Q1	295
median	772.5
Q3	2192
95-th percentile	17317.6
Maximum	629811
Range	629807
Interquartile range (IQR)	1897

Descriptive statistics

Standard deviation	17035.506
Coefficient of variation (CV)	4.1401486
Kurtosis	620.60735
Mean	4114.7088
Median Absolute Deviation (MAD)	604
Skewness	19.837987
Sum	12936644
Variance	2.9020845 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
256	11	0.3%
27	8	0.3%
12	8	0.3%
245	7	0.2%
45	7	0.2%
29	6	0.2%
449	6	0.2%
328	6	0.2%
378	6	0.2%
159	6	0.2%
Other values (2004)	3073	97.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
8	1	< 0.1%
9	2	0.1%
10	3	0.1%
11	1	< 0.1%
12	8	0.3%
14	2	0.1%
15	2	0.1%
16	1	< 0.1%

Value	Count	Frequency (%)
629811	1	< 0.1%
281454	1	< 0.1%
204310	1	< 0.1%
172361	1	< 0.1%
165513	1	< 0.1%
144278	1	< 0.1%
141814	1	< 0.1%
137723	1	< 0.1%
136563	1	< 0.1%
110086	1	< 0.1%

unemployment_rate_2020
Real number (ℝ)

Distinct	142
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.7461975

Minimum	1.7
Maximum	22.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	1.7
5-th percentile	3.4
Q1	5.2
median	6.5
Q3	8
95-th percentile	10.6
Maximum	22.5
Range	20.8
Interquartile range (IQR)	2.8

Descriptive statistics

Standard deviation	2.2845938
Coefficient of variation (CV)	0.33864911
Kurtosis	2.8423251
Mean	6.7461975
Median Absolute Deviation (MAD)	1.4
Skewness	0.94664081
Sum	21210.045
Variance	5.2193688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5.4	75	2.4%
5.9	65	2.1%
6.5	64	2.0%
6.2	63	2.0%
6.6	62	2.0%
6.3	61	1.9%
7.1	61	1.9%
6.4	61	1.9%
5.8	60	1.9%
5.5	58	1.8%
Other values (132)	2514	80.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.7	3	0.1%
1.8	4	0.1%
2	5	0.2%
2.1	3	0.1%
2.2	5	0.2%
2.3	6	0.2%
2.4	6	0.2%
2.5	10	0.3%
2.6	4	0.1%
2.7	19	0.6%

Value	Count	Frequency (%)
22.5	1	< 0.1%
21.5	1	< 0.1%
19.4	1	< 0.1%
18.4	1	< 0.1%
17.8	2	0.1%
17.3	1	< 0.1%
17.1	1	< 0.1%
16.2	2	0.1%
16.1	2	0.1%
16	2	0.1%

med_hh_income_percent_of_state_total_2019
Real number (ℝ)

Distinct	3140
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	89.455654

Minimum	39.92252
Maximum	234.5226
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	24.7 KiB

Quantile statistics

Minimum	39.92252
5-th percentile	62.338608
Q1	76.419744
median	86.824825
Q3	99.43825
95-th percentile	125.47682
Maximum	234.5226
Range	194.60008
Interquartile range (IQR)	23.018505

Descriptive statistics

Standard deviation	19.838551
Coefficient of variation (CV)	0.22176968
Kurtosis	3.0958027
Mean	89.455654
Median Absolute Deviation (MAD)	11.295391
Skewness	1.1162484
Sum	281248.58
Variance	393.56812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
87.56681324	3	0.1%
97.88211823	2	0.1%
79.32849121	2	0.1%
112.4818878	1	< 0.1%
111.9105988	1	< 0.1%
81.79681396	1	< 0.1%
87.69248962	1	< 0.1%
133.789856	1	< 0.1%
74.5332489	1	< 0.1%
114.2596741	1	< 0.1%
Other values (3130)	3130	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
39.92251968	1	< 0.1%
44.14705276	1	< 0.1%
44.70130539	1	< 0.1%
45.0443573	1	< 0.1%
45.57546234	1	< 0.1%
45.81298828	1	< 0.1%
46.38410568	1	< 0.1%
46.91713333	1	< 0.1%
47.17213058	1	< 0.1%
47.99232101	1	< 0.1%

Value	Count	Frequency (%)
234.5225983	1	< 0.1%
213.4583435	1	< 0.1%
198.5144653	1	< 0.1%
193.5701141	1	< 0.1%
187.8100281	1	< 0.1%
186.9413605	1	< 0.1%
182.9410858	1	< 0.1%
180.2631073	1	< 0.1%
168.1533813	1	< 0.1%
167.2503357	1	< 0.1%

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Heatmap
Table

	fips	urban_influence_code_2013	unemployment_rate_2019	unemployed_2020	unemployment_rate_2020	med_hh_income_percent_of_state_total_2019	state	metro_2013
fips	1.000	-0.021	-0.043	0.012	0.042	-0.004	1.000	1.000
urban_influence_code_2013	-0.021	1.000	0.080	-0.679	-0.203	-0.437	0.205	0.999
unemployment_rate_2019	-0.043	0.080	1.000	0.095	0.714	-0.405	0.260	0.139
unemployed_2020	0.012	-0.679	0.095	1.000	0.479	0.358	0.084	0.115
unemployment_rate_2020	0.042	-0.203	0.714	0.479	1.000	-0.170	0.308	0.185
med_hh_income_percent_of_state_total_2019	-0.004	-0.437	-0.405	0.358	-0.170	1.000	0.143	0.433
state	1.000	0.205	0.260	0.084	0.308	0.143	1.000	0.327
metro_2013	1.000	0.999	0.139	0.115	0.185	0.433	0.327	1.000

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	fips	state	area_name	urban_influence_code_2013	metro_2013	unemployment_rate_2019	unemployed_2020	unemployment_rate_2020	med_hh_income_percent_of_state_total_2019
0	01001	AL	Autauga County, AL	2.0	1.0	2.7	1262.0	4.9	112.481888
1	01003	AL	Baldwin County, AL	2.0	1.0	2.8	5425.0	5.6	115.645828
2	01005	AL	Barbour County, AL	6.0	0.0	3.8	605.0	7.0	69.482918
3	01007	AL	Bibb County, AL	1.0	1.0	3.1	573.0	6.6	92.557610
4	01009	AL	Blount County, AL	1.0	1.0	2.7	1008.0	4.1	102.184624
5	01011	AL	Bullock County, AL	6.0	0.0	3.7	265.0	5.5	61.629097
6	01013	AL	Butler County, AL	6.0	0.0	3.7	801.0	8.8	77.155167
7	01015	AL	Calhoun County, AL	2.0	1.0	3.6	3260.0	7.1	92.227310
8	01017	AL	Chambers County, AL	5.0	0.0	2.9	1078.0	6.8	81.155472
9	01019	AL	Cherokee County, AL	6.0	0.0	2.9	530.0	4.6	88.818062

	fips	state	area_name	urban_influence_code_2013	unemployment_rate_2019	unemployed_2020	unemployment_rate_2020	med_hh_income_percent_of_state_total_2019
3134	56027	WY	Niobrara County, WY	12.0	2.8	48.0	3.8	73.335648
3135	56029	WY	Park County, WY	11.0	4.2	831.0	5.4	89.935303
3136	56031	WY	Platte County, WY	11.0	3.6	233.0	5.0	86.807655
3137	56033	WY	Sheridan County, WY	8.0	3.6	801.0	4.9	96.792236
3138	56035	WY	Sublette County, WY	10.0	4.7	294.0	7.2	117.993408
3139	56037	WY	Sweetwater County, WY	8.0	4.0	1532.0	7.4	121.899567
3140	56039	WY	Teton County, WY	8.0	2.8	912.0	6.0	149.408936
3141	56041	WY	Uinta County, WY	8.0	4.0	582.0	6.3	106.959732
3142	56043	WY	Washakie County, WY	11.0	4.1	211.0	5.3	83.326279
3143	56045	WY	Weston County, WY	9.0	3.0	148.0	3.9	89.808319

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Missing values

Sample